Senior Data Scientist | Python, SQL, Machine...

Manpower
Greenville, United States of America
2 days ago

Role details

Contract type
Permanent contract
Employment type
Full-time (> 32 hours)
Working hours
Regular working hours
Languages
English
Experience level
Senior
Compensation
$ 109K

Job location

Greenville, United States of America

Tech stack

Artificial Intelligence
Business Analytics Applications
Decision Support Systems
Python
Machine Learning
NumPy
Salesforce
SAP Applications
SciPy
SQL Databases
Enterprise Software Applications
Sql Optimization
Pandas
Scikit Learn
Data Analytics
Databricks

Job description

  • Develop machine learning, forecasting, and predictive analytics solutions that support business and operational decision-making.

  • Build scenario-planning and "what-if" models to evaluate resource capacity, project execution, costs, and business forecasts.

  • Analyze and integrate data from multiple enterprise platforms, including ERP, CRM, business intelligence, financial, and project management systems.

  • Collaborate with business leaders, engineers, and data teams to translate complex business challenges into data-driven solutions.

  • Create executive reporting, dashboards, and AI-powered analytical tools that provide actionable insights and improve operational performance.

What's Needed?

Requirements

Our client, a global leader in energy technology and industrial engineering solutions, is seeking a Senior Data Scientist to join their team. As a Senior Data Scientist, you will be part of the Data & Analytics organization supporting Engineering, Operations, Program Management, and Business Strategy teams. The ideal candidate will have strong analytical thinking, excellent stakeholder communication skills, and a collaborative, solution-oriented mindset that will align successfully within the organization., + Strong experience using Python for data analysis, statistical modeling, and machine learning (Pandas, NumPy, Scikit-Learn, SciPy).

  • Advanced SQL skills with experience querying, transforming, and analyzing large enterprise datasets.

  • Experience developing predictive models, forecasting solutions, and data-driven business insights.

  • Background working with enterprise systems such as SAP, Salesforce, Databricks, ERP, CRM, or similar platforms.

  • Ability to communicate technical findings effectively to both technical and non-technical stakeholders while collaborating across cross-functional teams., + Hands-on experience with emerging technologies, including predictive analytics, forecasting models, and AI-driven decision support tools.

Benefits & conditions

  • Competitive compensation and the chance to contribute to high-impact projects within a technology-driven organization.

About the company

About ManpowerGroup, Parent Company of:** **Manpower, Experis and Talent Solutions _Experis® is a global leader in technology services and part of the ManpowerGroup® (NYSE: MAN) family of brands. We connect skilled technology professionals with meaningful opportunities where they can grow their careers, expand their expertise and make a real impact. Guided by the belief that it takes Human Ingenuity to unlock the true potential of technology, Experis helps people gain experience with leading organizations, build sought-after skills and take the next step toward a brighter future. Backed by ManpowerGroup's 75+ years of workforce expertise and global reach across more than 70 countries and territories, Experis brings the scale, insight and opportunity to help people and businesses thrive. ManpowerGroup is consistently recognized for its commitment to inclusion, ethics and responsible business, including being named one of the World's Most Ethical Companies. Learn more at Experis.com._ ManpowerGroup is committed to providing equal employment opportunities in a professional, high quality work environment. It is the policy of ManpowerGroup and all of its subsidiaries to recruit, train, promote, transfer, pay and take all employment actions without regard to an employee's race, color, national origin, ancestry, sex, sexual orientation, gender identity, genetic information, religion, age, disability, protected veteran status, or any other basis protected by applicable law.

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